Google Docs MCP Server

Created By
highlight-inga year ago
Overview

what is Google Docs MCP Server?

Google Docs MCP Server is a Model Context Protocol (MCP) server designed for the Google Docs API, enabling language models to create, search, append to, and update Google Docs.

how to use Google Docs MCP Server?

To use the Google Docs MCP Server, set up the server by following the installation instructions, authenticate with Google API credentials, and run the server to interact with Google Docs through the MCP protocol.

key features of Google Docs MCP Server?

  • Search Docs: Search for Google Docs in Drive using custom queries.
  • Create Doc: Create new Google Docs with optional initial content.
  • Append to Doc: Append content to an existing Google Doc.
  • Update Doc: Replace content in an existing Google Doc with new content.

use cases of Google Docs MCP Server?

  1. Automating document creation and updates in Google Docs.
  2. Integrating Google Docs functionalities into other applications.
  3. Enhancing language model capabilities with document management.

FAQ from Google Docs MCP Server?

  • What are the prerequisites for using the server?

You need Node.js (v14 or higher), npm, and a Google Cloud Platform account with the Google Drive and Google Docs APIs enabled.

  • Is there a license for this project?

Yes, the project is licensed under the MIT License.

  • How do I authenticate with Google APIs?

You need to create OAuth 2.0 credentials in the Google Cloud Console and follow the prompts to obtain authentication tokens.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
highlight-ing
Star
0
Language
TypeScript
License
-

Recommend Servers

View All
Docwand

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

14 hours ago